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Volumn 8, Issue 6, 1996, Pages 957-961

Effective data mining using neural networks

Author keywords

Classification; Data mining; Network pruning; Neural networks; Rule extraction

Indexed keywords

ALGORITHMS; DATA STRUCTURES; DATABASE SYSTEMS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; NEURAL NETWORKS; REDUNDANCY;

EID: 0030383603     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/69.553163     Document Type: Article
Times cited : (317)

References (10)
  • 4
    • 0003040892 scopus 로고
    • Neurorule: A Connectionist Approach to Data Mining
    • H. Lu, R. Setiono, and H. Liu, "Neurorule: A Connectionist Approach to Data Mining," Proc, VLDB '95, pp. 478-489, 1995.
    • (1995) Proc, VLDB '95 , pp. 478-489
    • Lu, H.1    Setiono, R.2    Liu, H.3
  • 7
    • 0001941003 scopus 로고
    • Comparing Connectionist and Symbolic Learning Methods
    • S.J. Hanson, G.A. Drastall, and R.L. Rivest, eds., A Bradford Book, MIT Press
    • J.R. Quinlan, "Comparing Connectionist and Symbolic Learning Methods," S.J. Hanson, G.A. Drastall, and R.L. Rivest, eds., Computational Learning Theory and Natural Learning Systems, vol. 1, pp. 445-456. A Bradford Book, MIT Press, 1994.
    • (1994) Computational Learning Theory and Natural Learning Systems , vol.1 , pp. 445-456
    • Quinlan, J.R.1
  • 8
    • 0026119038 scopus 로고
    • Symbolic and Neural Learning Algorithms: An Experimental Comparison
    • J.W. Shavlik, R.J. Mooney, and G.G. Towell, "Symbolic and Neural Learning Algorithms: An Experimental Comparison," Machine Learning, vol. 6, no. 2, pp. 111-143, 1991.
    • (1991) Machine Learning , vol.6 , Issue.2 , pp. 111-143
    • Shavlik, J.W.1    Mooney, R.J.2    Towell, G.G.3
  • 9
    • 21844514693 scopus 로고
    • A Neural Network Construction Algorithm which Maximizes the Likelihood Function
    • R. Setiono, "A Neural Network Construction Algorithm which Maximizes the Likelihood Function," Connection Science, vol. 7, no. 2, pp. 147-166, 1995.
    • (1995) Connection Science , vol.7 , Issue.2 , pp. 147-166
    • Setiono, R.1
  • 10
    • 0030633575 scopus 로고    scopus 로고
    • A Penalty Function Approach for Pruning Feed-forward Neural Networks
    • R. Setiono, "A Penalty Function Approach for Pruning Feed-forward Neural Networks," Neural Computation, vol. 9, no. 1, pp. 301-320, 1997.
    • (1997) Neural Computation , vol.9 , Issue.1 , pp. 301-320
    • Setiono, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.